Data Scientist

Amplify

Remote
Base: $100,000 - $132,000; bonus/equity: eligible ...
Machine learning model development
Time series forecasting methodologies
Python for data analysis
The Data Scientist will join the Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across Amplify's educational product portfolio

Job Summary

  • The Data Scientist will join the Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across Amplify's educational product portfolio.
  • This role will drive data science best practices and introduce advanced analytics capabilities to support strategic supply chain decisions affecting tens-of-thousands of ISBNs and hundreds of millions in revenue.
  • Amplify offers a comprehensive Total Rewards package including a 401(k) plan, competitive health insurance, paid time off, and parental leave.

Matching Summary

The Data Scientist will join the Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across Amplify's educational product portfolio.

Salary

Base: $100,000 - $132,000; Bonus/Equity: Eligible to earn annual discretionary bonus; Benefits: 401(k) plan, competitive health insurance, mental health options, basic life insurance, paid time off, parental leave

Skills & Requirements

Must-have

  • Machine Learning model development
  • Time series forecasting methodologies
  • Python for data analysis
  • SQL for data analysis
  • Deploying ML models to production
  • Git for version control

Nice-to-have

  • Snowflake data warehousing
  • Container technologies (Docker, Kubernetes)
  • Background in education or edtech
  • Cross-functional collaboration
  • Driving self-directed projects

Key Requirements

  • 2+ years of experience in data science
  • Supply Chain forecasting or logistics optimization experience
  • Expert user of Python
  • Expert user of SQL
  • Experience training and evaluating ML models
  • Experience deploying ML models to production
  • Software development methodology and protocols

Work Rights

Not specified

Tailored Resume

Cover Letter